Research

Focus Areas

Accessibility

People: Mauli Pandey and Steve Oney

Building & Testing Interactive UIs

People: Steve Oney and Rebecca Krosnick

Collaborative Data Science

People: April Wang, Christopher Brooks, and Steve Oney

Communicating about Code

People: April Wang, Steve Oney, and Christopher Brooks

Immersive Programming

People: Lei Zhang and Steve Oney

On-Demand Support for Programmers

People: Yan Chen and Steve Oney

Programming Education

People: Ashley Zhang, Steve Oney, and Maryam Arab

All Publications

CHI 2026

VL/HCC 2025

  • Co-Advisor: Learning Programming Strategies in Context

    Maryam Arab, Hanning Li, Rushal Butala, and Steve Oney

    A context-aware learning tool that helps programmers develop strategic problem-solving skills like debugging and program design. Integrated with Visual Studio Code, it analyzes the learner’s code, runtime state, and actions to recommend expert strategies tailored to a developer's context. As learners follow these strategies, Co-Advisor provides real-time feedback to make it easier for developers to understand strategic knowledge in context.

  • ConvoMap: Interactive Visualizations for Exploring Complex Conversations in Multi-Agent Systems

    Ashley Zhang, Victor Bursztyn, Gromit Chan, Shunan Guo, Eunyee Koh, Steve Oney, and Jane Hoffswell

    A visualization system that helps developers understand and debug large collections of conversations between AI agents in Multi-Agent Systems (MASs). ConvoMap contains visualizations to show the flow of interactions between agents and the topics covered. ConvoMap allows MAS developers to spot behavioral patterns, trace errors, and compare outcomes at scale.

  • SPARK: Real-Time Monitoring of Multi-Faceted Programming Exercises

    A dashboard for programming instructors that lets them monitor student progress on complex, multi-step programming exercises. SPARK lets instructors define checkpoints, automatically generates tests for each step, and visualizes progress across students. SPARK also enables inspection of intermediate outputs and runtime states to reveal common challenges and misconceptions.

    Honorable mention  

UIST 2025

  • Multi-Click: Cross-Tab Web Automation via Action Generalization

    Proposes "action generalization"---a technique for applying the same action across multiple contexts automatically. Multi-click lets users select a "generalization strategy" to determine which elements a given action (e.g., click or text entry) will apply to within a given page or across multiple tabs. Unlike prior web automation tools, multi-click works at the *interaction* level, rather than requiring a separate script representation of automation macros, which can improve the directness and understandability of bulk actions.

L@S 2024

UIST 2024

VL/HCC 2024

CHI 2024

CHI 2023

VL/HCC 2023

VL/HCC 2022

CSCW 2021

VL/HCC 2021

CHI 2021

IMX 2020

UIST 2020

VL/HCC 2020

CHI 2020

VL/HCC 2019

CSCW 2019

  • How Data Scientists Use Computational Notebooks for Real-Time Collaboration

    We reported how synchronous editing in computational notebooks changes the way data scientists work together compared to working on individual notebooks through a formative survey and an observational study. Working on the synchronous notebooks improves collaboration by creating a shared context, encouraging more exploration, and reducing communication costs. However, the current synchronous editing features may lead to unbalanced participation and activity interference without strategic coordination.

    Best paper  

CHI 2019

CSCW 2018

UIST 2018

VL/HCC 2018

CHI 2017

UIST 2016

CHI 2016

UIST 2014

CHI 2013

CHI 2012

ICSE 2012

UIST 2012

IS-EUD 2011

CHI 2010

VL/HCC 2009